Treemap of the NZX

As you would have noticed in my previous posts, I am currently fascinated with treemaps. I recently
constructed a couple of treemaps of the New Zealand Stock Exchange, and thought you may be interested in viewing them.

In the attached treemaps, each listed company on the NSZX is represented by a coloured box. The size of the boxes are determined by the market capitalisation of each company, and the colour of the boxes are determined by their performance on the NZSX from the start of the year to July (A deep red shade indicates very poor performance, a deep Green shade indicates very good performance, and lighter shades indicate less extreme positive or negative performance).

The first treemap shows the contribution of each sector (i.e. services, property, primary, goods, investment, energy) to the overall size of the NZSX. In the second treemap, each box/company is in the same position as the first treemap, and is identified by their three-letter-code. A good test to check your knowledge of the NZSX would be to try and name as many of these companies as possible.

It would be great to know what you think about these graphics and the improvements that could be made to improve them.

The Size of National Economies Version 2

In this post I wanted to  have a another go at the figures I made a few months ago in "The Size of National Economies".

I have since found out that these diagrams are called treemaps. Treemaps can display hierarchical data by placing appropriately sized rectangles nested within each other. The data I am using (World GDP) has been grouped into the six continents, then into individual nations. The size of each box represents the size of the respective nation's economy, and the colour of each box indicates the level of per-capita income, with blue boxes indicating a very low per-capita income and orange boxes indicating a very high per-capita income. A couple of these treemaps are displayed below.

I think these charts are very informative on wealth and income levels in different parts of the world. The first treemap illustrates the point that the economic world is dominated by the Northern Hemisphere. Asia, Europe and North America contribute over 90% of World GDP. It is also interesting to compare the wealth of different continents. The colouring of the rectangles shows us that European countries generally have a high level of income while African countries have a low level of income.

Any comments or questions are welcome. Thanks for reading.